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WS 2025/26

Tim Overkamp

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Was ist ein ViT?

[1]

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Ergebnis

Modell Accuracy ECE MCE
A (Baseline) 0.9738 0.0132 0.1024
A+ (Temp. Scaling) 0.9738 0.0023 0.0163
B (Mod. Targets) 0.9688 0.0234 0.1893
C (Soft Target) 0.9712 0.0321 0.0768
D (MMCE Loss) 0.9729 0.0141 0.1138

Quellen

[1]
A. Dosovitskiy et al., “An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.” Accessed: Jan. 22, 2026. [Online]. Available: http://arxiv.org/abs/2010.11929